Deep Learning Nomogram for the Identification of Deep Stromal Invasion in Patients With Early‐Stage Cervical Adenocarcinoma and Adenosquamous Carcinoma: A Multicenter Study

列线图 医学 腺鳞癌 放射科 阶段(地层学) 腺癌 肿瘤科 内科学 癌症 古生物学 生物
作者
Mei Xiao,Ting Qian,Le Fu,Wei Yan,Hua Feng,Wei Yong Gu,Hai Ming Li,Yong Ai Li,Zhao Qian,Jie Cheng,Guofu Zhang,Jinwei Qiang
出处
期刊:Journal of Magnetic Resonance Imaging [Wiley]
卷期号:59 (4): 1394-1406 被引量:8
标识
DOI:10.1002/jmri.28882
摘要

Background Deep stromal invasion (DSI) is one of the predominant risk factors that determined the types of radical hysterectomy (RH). Thus, the accurate assessment of DSI in cervical adenocarcinoma (AC)/adenosquamous carcinoma (ASC) can facilitate optimal therapy decision. Purpose To develop a nomogram to identify DSI in cervical AC/ASC. Study Type Retrospective. Population Six hundred and fifty patients (mean age of 48.2 years) were collected from center 1 (primary cohort, 536), centers 2 and 3 (external validation cohorts 1 and 2, 62 and 52). Field Strength/Sequence 5‐T , T2 ‐weighted imaging ( T2WI , SE / FSE ), diffusion‐weighted imaging ( DWI , EPI ), and contrast‐enhanced T1 ‐weighted imaging ( CE‐T1WI , VIBE / LAVA ). Assessment The DSI was defined as the outer 1/3 stromal invasion on pathology. The region of interest (ROI) contained the tumor and 3 mm peritumoral area. The ROIs of T2WI, DWI, and CE‐T1WI were separately imported into Resnet18 to calculate the DL scores (TDS, DDS, and CDS). The clinical characteristics were retrieved from medical records or MRI data assessment. The clinical model and nomogram were constructed by integrating clinical independent risk factors only and further combining DL scores based on primary cohort and were validated in two external validation cohorts. Statistical Tests Student's t ‐test, Mann–Whitney U test, or Chi‐squared test were used to compare differences in continuous or categorical variables between DSI‐positive and DSI‐negative groups. DeLong test was used to compare AU‐ROC values of DL scores, clinical model, and nomogram. Results The nomogram integrating menopause, disruption of cervical stromal ring (DCSRMR), DDS, and TDS achieved AU‐ROCs of 0.933, 0.807, and 0.817 in evaluating DSI in primary and external validation cohorts. The nomogram had superior diagnostic ability to clinical model and DL scores in primary cohort (all P < 0.0125 [0.05/4]) and CDS ( P = 0.009) in external validation cohort 2. Data Conclusion The nomogram achieved good performance for evaluating DSI in cervical AC/ASC. Level of Evidence 3 Technical Efficacy Stage 2
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
鹤轩发布了新的文献求助10
刚刚
无花果应助krislan采纳,获得10
刚刚
刚刚
2秒前
暮寻屿苗完成签到,获得积分10
2秒前
远志发布了新的文献求助10
2秒前
哈哈发布了新的文献求助10
3秒前
gladuhere完成签到 ,获得积分10
3秒前
杨羽完成签到,获得积分10
4秒前
小波发布了新的文献求助10
5秒前
5秒前
妮妮发布了新的文献求助10
5秒前
暮寻屿苗发布了新的文献求助30
6秒前
6秒前
7秒前
7秒前
叛逆黑洞完成签到 ,获得积分10
7秒前
lurenxin完成签到,获得积分10
8秒前
九宫格发布了新的文献求助10
9秒前
changli发布了新的文献求助10
9秒前
9秒前
bkagyin应助cytojunx采纳,获得10
10秒前
10秒前
奋斗的小甜瓜完成签到,获得积分20
10秒前
11秒前
Lido完成签到,获得积分10
13秒前
13秒前
13秒前
自觉大门发布了新的文献求助10
13秒前
蓝天应助chenn采纳,获得10
14秒前
MMMMMa完成签到,获得积分10
14秒前
小二郎应助LSC采纳,获得10
14秒前
orixero应助愉快的孤晴采纳,获得10
15秒前
15秒前
15秒前
17秒前
滴滴发布了新的文献求助10
19秒前
changli完成签到,获得积分10
19秒前
splash发布了新的文献求助10
20秒前
yun发布了新的文献求助10
20秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Modern Epidemiology, Fourth Edition 5000
Handbook of pharmaceutical excipients, Ninth edition 5000
Kinesiophobia : a new view of chronic pain behavior 5000
Molecular Biology of Cancer: Mechanisms, Targets, and Therapeutics 3000
Digital Twins of Advanced Materials Processing 2000
Weaponeering, Fourth Edition – Two Volume SET 2000
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 纳米技术 化学工程 生物化学 物理 计算机科学 内科学 复合材料 催化作用 物理化学 光电子学 电极 冶金 细胞生物学 基因
热门帖子
关注 科研通微信公众号,转发送积分 6019772
求助须知:如何正确求助?哪些是违规求助? 7614944
关于积分的说明 16163093
捐赠科研通 5167540
什么是DOI,文献DOI怎么找? 2765662
邀请新用户注册赠送积分活动 1747539
关于科研通互助平台的介绍 1635688